Data Analyst

• Collect, abstract, analyze, and accurately code complex clinical data for trauma patients, capturing 88–200 data elements per case from both electronic and paper medical records.
• Apply advanced knowledge of trauma coding standards, including Abbreviated Injury Scale (AIS), ICD-10 coding, trauma scoring methodologies (GCS, ISS, TRISS, POS), and other regulatory requirements.
• Determine case inclusion and ensure compliance with standards established by the American College of Surgeons (ACS), National Trauma Data Bank (NTDB), Trauma Quality Improvement Program (TQIP), and the Massachusetts Department of Public Health (DPH).
• Partner closely with the Trauma Medical Director, Trauma Program Manager, and Performance Improvement team to support trauma quality initiatives, mortality and morbidity reviews, and performance improvement meetings.
• Identify, document, and track clinical complications while ensuring timely performance improvement loop closure.
• Prepare and submit required state and national trauma registry data and maintain ongoing compliance with accreditation and benchmarking requirements.
• Produce routine, ad hoc, and complex reports that support clinical research, operational decision-making, accreditation activities, and quality improvement initiatives.
• Serve as the liaison between the Trauma Program, State Medical Examiner's Office, Health Information Management, Information Technology, and the trauma registry vendor to ensure database integrity and timely issue resolution.
• Participate in trauma rounds, multidisciplinary meetings, educational activities, and ongoing performance improvement initiatives.

Trauma Registrar, Data Analyst

• Own Foley's enterprise data model
• Drive the medallion architecture from a product definition perspective
• Own Silver and Gold layer data definitions
• Prioritize the engineering backlog in partnership with the VP of Engineering
• Be the primary data platform partner for business stakeholders
• Own stakeholder communication
• Maintain a weekly touchpoint with the AI Value Creation Office
• Own delivery against quarterly KRs
• Own the product roadmap for Foley's intelligence self-service platform
• Own the API layer as a product
• Define and maintain the metric layer
• Partner with the data analyst and engineering to enable self-service intelligence
• Drive platform adoption and capability enablement across the organization
• Own the capabilities and paved paths backlog

Staff Product Manager, Data & Analytics

• Working in a fast-paced, innovative, and change-oriented work environment
• Using programming skills to explore, examine and interpret large-scale data in various forms
• Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
• Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
• Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
• Building a strong network of peers and mentors
• Attending on-site technical and professional development classes
• Presenting accomplishments to leadership across the organization
• Participating in sponsored community service events

Data Analytics Co-Op

• Perform hands-on analysis of sales performance across the organization — pipeline, bookings, conversion, and productivity — to answer recurring and ad hoc questions from sales leadership.
• Turn analysis into clear, decision-ready insights and recommendations for a non-technical audience, not just raw reports.
• Build and maintain reporting artifacts, including tear sheets, executive summaries, and dashboards, that give stakeholders a clear, current view of the business.
• Source, validate, and reconcile data across CRM (HubSpot, NetSuite) and ERP (NetSuite, Ormandy) systems to ensure analysis rests on accurate, trusted data.
• Investigate data quality issues and anomalies and recommend improvements to data capture and reporting.
• Structure and maintain the templates and sheets that support the sales forecasting process.
• Support sales territory planning through data preparation, mapping, and scenario setup.
• Partner with Division Leads and leadership to ensure planning and forecasting tools are accurate, usable, and up to date.
• Apply low-code automation (Microsoft Power Automate) to streamline recurring reporting and data preparation, reducing manual effort.
• Build and support basic AI agents or assistants using low-code tools such as Microsoft Copilot Studio where they improve efficiency.
• Identify manual, repetitive analytical tasks and convert them into reliable, repeatable processes.
• Work across the Sales Strategy & Operations organization to understand data and tooling needs and deliver practical solutions.
• Partner with Sales Operations, Finance, and divisional stakeholders to align definitions, data sources, and reporting standards.
• Document tools, workflows, and processes so solutions are maintainable and transferable across the team.

Sales Analytics Specialist

• Lead engagement with senior business stakeholders to define data governance priorities, align on business objectives, and translate needs into actionable data initiatives.
• Lead the planning, coordination, and execution of data governance initiatives, ensuring alignment with business priorities, timelines, and governance objectives.
• Perform advanced analysis of complex enterprise datasets to identify trends, anomalies, root causes, risks, and opportunities that drive governance decisions, operational improvements, and business outcomes.
• Develop executive dashboards, visualizations, and data stories that communicate meaningful insights, governance performance, emerging trends, and business recommendations.
• Leverage AI-assisted analysis and productivity tools to improve data discovery, documentation, reporting, and insight generation while ensuring outputs are accurate, explainable, and aligned with data governance standards.
• Drive the development, documentation, and maintenance of data governance frameworks, including data quality standards, data lineage, metadata management, and data stewardship models.
• Partner with data owners and stewards to ensure accountability for data quality, integrity, and compliance across domains.
• Support process assessments and root cause analyses to identify, document, and recommend scalable process and system improvements that enhance data quality and governance.
• Support regulatory and compliance initiatives by ensuring adherence to data policies, standards, and controls.
• Collaborate with technology, info security, risk, compliance, and business teams to operationalize governance tools and processes.
• Mentor junior analysts and contribute to building best practices within the data governance function.

Data Governance Analyst

• Collect, organize, and maintain sustainability program data from online initiatives and engagement activities.
• Track participation, engagement, and learning outcomes related to sustainability programs for online students.
• Assist with creating surveys, forms, and assessment tools to gather feedback and measure program effectiveness.
• Analyze data and identify trends, opportunities, and areas for improvement.
• Develop dashboards, reports, infographics, and data visualizations that communicate program impact.
• Support the collection and analysis of data for annual sustainability reports and strategic planning initiatives.
• Research sustainability benchmarks, best practices, and emerging trends relevant to higher education and online engagement.
• Collaborate with other Eco Reps to evaluate the effectiveness of campaigns, events, workshops, and educational programs.
• Present findings and recommendations to the Office of Sustainability staff and student teams.
• Maintain accurate records and documentation of sustainability-related metrics and outcomes.
• Assist with measuring participation in sustainability challenges, online learning opportunities, and virtual engagement initiatives.
• Support data-informed decision-making by providing actionable insights and recommendations.
• Monitor engagement metrics for online sustainability programming, newsletters, social media campaigns, webinars, and virtual events.
• Analyze participation patterns among online students to identify opportunities for increased engagement.
• Evaluate the effectiveness of virtual sustainability education initiatives and recommend improvements.
• Assist in developing metrics that capture the impact of sustainability programs on online learners.
• Support virtual focus groups, surveys, and feedback collection efforts.
• Compile monthly and semester impact reports.
• Track sustainability engagement goals and key performance indicators (KPIs).
• Assist with data collection for STARS reporting and other institutional sustainability assessments.
• Create visual summaries and presentations that communicate results to campus stakeholders.
• Support the development of data-driven recommendations for future sustainability initiatives.

Online Data Analytics Eco Representative

• Provide administrative support to manage and analyze fishery-dependent data from the recreational head boat fishery in the Southeastern United States from North Carolina to Texas.
• Manage, organize, and maintain SRHS and NMFS databases to ensure proper functioning, data quality, and error correction.
• Enter and quality control data daily and provide weekly status reports.
• Process, perform QA/QC, and analyze biological samples collected during sampling operations.
• Perform QA/QC checks on otolith and spine collections in the Oracle system.
• Provide error reports to port agents for correction.
• Use custom data entry applications and database software such as Microsoft Excel, Oracle, and Access to summarize data and provide results.
• Organize and maintain bioprofile, logbook catch record, and head boat activity report databases.
• Compile dockside sampling data from head boat port agents in the South Atlantic and Gulf of Mexico.
• Maintain and develop quality assurance and quality control analyses and procedures for Head Boat Survey data.
• Compile and maintain vessel directory and contact information.
• Track vessel reporting compliance.
• Use SAS and/or R analytical software, Oracle, and relational databases to summarize landings and effort estimates, conduct data QA/QC, monitor compliance, and analyze sensitive data.
• Perform and assist with data analyses in support of data requests and general scientific inquiries.
• Perform data summaries and analyses in support of SEDAR activities.
• Assist with the annual report summarizing head boat survey data, including landings, effort, and impacts on the South Atlantic and Gulf of Mexico head boat fishery.
• Participate in special projects, including multidisciplinary collaborations within and outside the agency.
• Write scientific proposals to compete for extramural funding.
• Review reports, manuscripts, and scientific proposals.
• Assist FSD staff with fishery-dependent and fishery-independent data entry and processing as needed.
• Participate in public outreach efforts, including meeting with fishermen and participating in public events to educate the public about SRHS and fisheries management in the region.
• Prepare for and present, facilitate, or participate in position-related workshops, scientific meetings, symposiums, and public forums.

Fisheries Data Analyst – Southeast Region Head Boat Survey

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• Lead the transformation of forecasting models, tools, and analytics workflows
• Introduce state of the art energy modeling techniques and improved data processing methods
• Work alongside experienced power system and energy forecasting experts
• Complement deep domain expertise with advanced modeling, data science, and AI capabilities
• Build credibility and trust by enabling increased transparency and assumption sharing between forecasting domain experts and internal stakeholders/customers
• Evaluate and introduce best in class energy modeling tools, programming languages, and frameworks appropriate for power system forecasting
• Define data requirements, pipelines, and governance needed to support advanced forecasting
• Partner with IT, digital, and analytics teams to align platforms, tools, and security requirements
• Enable experts to focus on insight generation rather than manual model execution
• Apply AI, advanced analytics, and quantitative methods to improve forecasting processes

Senior Manager, Energy Forecasting – Advanced Analytics

• Lead the transformation of forecasting models, tools, and analytics workflows
• Modernize legacy forecasting models into modular, scalable, and transparent platforms
• Reduce manual data preparation and handling through automation, more efficient data processing, standardized inputs, and AI-assisted workflows
• Improve forecast accuracy and enable scenario functionality through the development of a modern forecasting platform
• Build credibility and trust by enabling increased transparency and assumption sharing between forecasting domain experts and internal stakeholders/customers
• Enable experts to focus on insight generation rather than manual model execution
• Apply AI, advanced analytics, and quantitative methods to improve forecasting processes
• Develop automated methods for evaluating, summarizing, and synthesizing third-party reports on global power markets and industry trends

• Develop and execute the analytics strategy for the People Relations & Enablement function
• Define, measure, and monitor key metrics that support enterprise decision-making and risk mitigation
• Design and deliver executive dashboards, scorecards, and reports that provide actionable insights
• Analyze people-related data to identify trends, emerging issues, organizational hotspots, and systemic risks
• Translate complex data into compelling narratives and recommendations for senior leaders and stakeholders
• Provide insight-driven guidance that helps leaders understand root causes and make informed decisions
• Partner with Technology, Workforce Analytics, Compliance, and Legal teams to ensure data integrity, governance, and confidentiality
• Establish data definitions, reporting standards, and governance processes that promote consistency and transparency
• Support automation initiatives and real-time reporting capabilities that enhance operational effectiveness
• Measure the impact of investigations, training initiatives, policy implementation, and resolution strategies
• Identify opportunities for early intervention and prevention by leveraging analytics to reduce recurring issues
• Create feedback loops that inform policy development, training strategies, and continuous improvement efforts
• Advance a proactive, data-informed People Relations & Enablement operating model focused on organizational health and trust.

People Relations & Enablement Analytics, Reporting Manager

• Perform advanced financial analysis and reporting to support strategic decision-making
• Develop and maintain sophisticated financial models for cash forecasting, capital planning, treasury management
• Conduct benchmarking, KPI analysis, and variance reporting to identify trends, risks, and opportunities
• Oversee budgeting processes, cost accounting, and productivity standards; provide recommendations for process improvements
• Mentor accounting staff, provide financial systems training, and support professional development within the finance team
• Present complex financial information and recommendations to senior leadership

Senior Financial Analyst – Cash Accounting, Analytics

• Perform quality audits and reviews of all data submitted by the IDT teams in Care Compass
• Complete quality validation calls to participants, providers, and home care agencies to confirm that all services requested were received
• Capture and modify any data missing by the PACE staff and communicate key updates
• Maintain accurate records of all scheduled appointments and ensure compliance with regulatory requirements
• Inspect participant’s requests submitted by IDT and ensure deliverables are received
• Provide analysis reports of data information to management and prepare recommendations for review

Data Quality Analyst

• Supports the operational efficiency of the Pharmacy Department by coordinating fiscal management activities, performing data analysis, and maintaining departmental statistics and reports
• Responsible for developing, preparing, and maintaining quality data analytics that will be utilized by leadership and management
• Publish quality analytics to include weekly or monthly dashboards, productivity, ad-hoc projects, and/or KPI used by directors and managers
• Maintain system databases to reflect changes in the drug formulary or product specifications
• Define new data collection and analysis processes

Business Data Analyst, Pharmacy

• Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes.
• Revises existing reports and develops new reports based on changing methodologies.
• Analyzes reports to ensure accuracy and quality.
• Tracks and verifies all reporting statistics.
• Communicates and trains employees and managers on the complex database programs used to generate analytical data.
• Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions.

Digital Data Analyst

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Present portfolio health to executive team (CIO Direct) monthly
• Identify, elevate and resolve critical portfolio insights, opportunities and gaps
• Lead portfolio lead bi-weekly meetings for an executive audience
• Coordinate with program managers, technology and business executives to assure OKRs are aligned within the portfolio and to enterprise goals
• Talent Management for program managers, portfolio leads, release train engineers and scrum masters
• Be a resource to portfolio, program and project managers in developing upfront estimates of time and resource utilization through organized discovery with stakeholders
• Manage the portfolio budget, coordinate with finance leadership to ensure funds are used efficiently
• Arbitrate and resolve conflict within the portfolio when necessary.
• Understand when escalation is appropriate and provide clear definition of impediments to executives
• Assist organizational change management and enterprise intake control in defining the changes requested by stakeholders and prioritize those that will result in the best outcome for the firm.
• Plan and manage out-sourced projects and 3rd party vendors when necessary
• Create and maintain monthly executive reporting standards

VP, Technology Portfolio Management – Data, Analytics & AI

• Review industry literature and research publications and maintain a system to curate publications, competitive intelligence, and internal research/reports.
• Create landscape summaries on topics relevant to higher education and update with new data and publications on an ongoing basis.
• Use third-party platforms to extract and summarize market data on programs and populations.
• Support Product Marketing in providing data summaries for program reviews and investigating new programs or products.
• Conduct deep-dive ad hoc research on market and competitive trends.
• Build, maintain, and update data models of external data sources (e.g., IPEDS), using tools such as Microsoft Fabric/PowerBI.
• Create and maintain data Python data ingestion notebooks in BigQuery and Microsoft Fabric.
• Use existing data models to monitor and summarize internal performance trends across products, segments, and demographics.
• Build and enhance reports and dashboards according to feedback, insights, and institutional goals.
• Actively seek opportunities to improve and anticipate feedback on analytic projects and tools.
• Present analysis findings to diverse audiences in a variety of formats.
• Utilize project management software to keep track of multiple priorities and projects.
• Attendance, punctuality, and reliability are essential functions of this role.

Market Research Data Analyst

• Forecasting & Predictive Analytics
• Measure and report forecast accuracy across teams, segments, and time horizons, identifying drivers of variance and recommending methodology improvements.
• Develop, test, and maintain forecast weighting algorithms that translate pipeline stage, deal age, and historical conversion into reliable predictions.
• Apply regression and other statistical methods to quoted and won/lost activity to surface the factors that most influence close rates and deal velocity.
• Partner with sales leadership to refine forecasting methodology and strengthen commit and upside discipline.
• Pipeline & Funnel Analytics
• Assess funnel sufficiency against quota and coverage targets, flagging gaps in pipeline volume, velocity, or conversion early enough to act.
• Analyze stage-to-stage conversion, sales cycle length, and win rates across divisions, segments, and reps to identify performance trends.
• Quantify pipeline health and recommend where to focus pipeline-generation and deal-progression efforts.
• Reporting & Visualization
• Build and maintain Tableau dashboards, scorecards, and recurring reporting that give sales leaders a clear, current view of performance.
• Translate analysis into concise, executive-ready narratives and visualizations that drive decisions rather than simply describe data.
• Leverage automation and AI tools to streamline data preparation, reporting, and analysis – reducing manual effort, accelerating turnaround, and improving consistency.
• Identify opportunities to apply AI and automation to recurring analytical and reporting workflows, and help bring those improvements into production.
• Data Management & Cross-Functional Partnership
• Source, validate, and reconcile sales data across CRM (HubSpot, NetSuite) and ERP (NetSuite, Ormandy) systems to ensure analyses rest on accurate, trusted data.
• Partner with Sales Operations, Finance, and divisional leaders to align on definitions, metrics, and reporting standards.
• Identify and resolve data quality issues, and recommend improvements to data capture and process.

Sales Data Analyst

• Provide support to the RN Clinical Consultants and Account Executives focusing on data analysis, query and reporting production helping clients understand the impact of healthcare utilization patterns.
• Participate in client meetings to introduce analytic frameworks, gather information, and provide consulting.
• Collaborate with implementation, account management, clinical, and health teams to align expectations, prioritize tasks, build reports, and deliver insights.
• Serve as a healthcare data analytics subject matter expert, creating standard and ad hoc reports to highlight trends, risks, and opportunities.
• Lead training on data warehouse use, perform monthly data quality assurance, and develop case studies and cohort analyses for internal and external presentations.

Data Analyst jobs in South Carolina

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Trauma Registrar, Data Analyst

Staff Product Manager, Data & Analytics

Data Analytics Co-Op

Sales Analytics Specialist

Data Governance Analyst

Online Data Analytics Eco Representative

Fisheries Data Analyst – Southeast Region Head Boat Survey

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Senior Manager, Energy Forecasting – Advanced Analytics

Senior Manager, Energy Forecasting – Advanced Analytics

People Relations & Enablement Analytics, Reporting Manager

Senior Financial Analyst – Cash Accounting, Analytics

Data Quality Analyst

Business Data Analyst, Pharmacy

Digital Data Analyst

Senior Director, Enterprise Data, Analytics, AI & Automation

VP, Technology Portfolio Management – Data, Analytics & AI

Market Research Data Analyst

Sales Data Analyst

Senior Data Analyst